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	An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity
	Ling, Qing-Hua[1]; Song, Yu-Qing[2]; Han, Fei[3]; Lu, Hu[4]
	2017
会议名称	INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2017, PT I
会议日期	2017-01-01
页码	121-127
收录类别	EI ; CPCI-S
URL标识	查看原文
WOS记录号	WOS:000441208400012
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/5349136
专题	江苏大学
作者单位	1.[1]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Jiangsu, Peoples R China. 2.Jiangsu Univ Sci & Technol, Sch Comp Sci & Engn, Zhenjiang 212013, Jiangsu, Peoples R China. 3.[2]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Jiangsu, Peoples R China. 4.[3]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Jiangsu, Peoples R China. 5.[4]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
推荐引用方式 GB/T 7714	Ling, Qing-Hua[1],Song, Yu-Qing[2],Han, Fei[3],et al. An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity[C]. 见:INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2017, PT I. 2017-01-01.

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